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Analytics, big data, and even drones are coming together for better project management in the construction industry. Image: anyaberkut/Getty Images/iStockphoto In 2016 research conducted on the construction industry, McKinsey & Company concluded that "Large projects across asset classes typically take 20% longer to finish than scheduled and are up to 80% over budget."  More about Big Data This is an enormous cost burden for construction companies and an unhappy outcome for customers. It's also why there are very serious efforts underway to use data from different sources to make large-scale construction projects easier to manage .  SEE: Special report: How to win with prescriptive analytics (free PDF) (TechRepublic) "The construction industry uses many different subcontractors and systems and is plagued by too many silos of data that can't speak to one another," said Scott Unger, CEO of Kahua , a construction analytics company. "Constru...

Learn how big data and artificial intelligence are helping field service employees be more efficient and effective. DragonImages, Getty Images/iStockphoto ManpowerGroup reported in 2018 that 70% of companies interviewed in a survey said that they expected a skills shortage in field service personnel over the next 10 years . Field service workers are those who travel to locations to repair goods and services onsite. Among the contributing factors were an aging (and retiring) workforce and a lack of enthusiasm among millennials for field service careers. More about Big Data "For large enterprises, field service must address an entire lifecycle of a product or service," said Arka Prava Dhar, CEO and founder of Zinier , which provides field service AI solutions. Field service starts with work orders, then the work is done by the field service worker, then it's either verified or forwarded to an expert, Dhar said.  Large companies that have 100,000 field service worke...